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Pseudo-random Number Generation Algorithm for Dynamically Perturbated Enhanced Chaotic Systems
2025 5th International Conference on Electronic Information Engineering and Computer Science (EIECS)Aiming at the shortcomings of traditional pseudorandom number generation (PRNG) methods in high-security applications, this paper proposes a hybrid model based on the combination of Logistic mapping and Lorenz chaotic system to construct a new PRNG ...
Meng Xia, Ying Zhang
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Generating Pseudorandom Numbers
1996Every Monte Carlo experiment relies on the availability of a procedure that supplies sequences of numbers from which arbitrarily selected nonoverlapping subsequences appear to behave like statistically independent sequences and where the variation in an arbitrarily chosen subsequence of length k (≥1) resembles that of a sample drawn from the uniform ...
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Pseudorandom Number Generation
2001Chapter 8 reveals that every algorithm that generates a sequence of i.i.d. random samples from a probability distribution as output requires a sequence of i.i.d. random samples from u(0, 1) as input. To meet this need, every discrete-event simulation programming language provides a pseudorandom number generator that produces a sequence of nonnegative ...
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Fortran Tausworthe pseudorandom number generator
Communications of the ACM, 1970Intermediate computations in an “Extremely Portable Random Number Generator” by J. B. Kruskal [ Comm. ACM 12 , 2 (Feb. 1969), 93-94] exceed 15 bits plus sign. This is a severe limitation since the majority of small computers uses a 16 bit (15 bits plus sign) word or less.
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Journal of Information Security and Applications, 2023
Takeshi Koshiba +2 more
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Takeshi Koshiba +2 more
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AEU - International Journal of Electronics and Communications, 2022
Venkata Reddy Kopparthi +5 more
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Venkata Reddy Kopparthi +5 more
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Engineering Nonlinear Pseudorandom Number Generators
2014In the era of multi and many-core processors, computer simulations increasingly require parallel, small and fast pseudorandom number generation. Although linear generators lend themselves to a simpler evaluation that ensures favorable properties like guaranteed period, they may adversely affect the result of simulations or be quite large.
Samuel Neves, Filipe Araújo
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A New Nonlinear Pseudorandom Number Generator
IEEE Transactions on Software Engineering, 1977During the next few years a new pseudorandom number generator will become available on many computer systems. A concern for the security of computer data has led to the adoption of a Data Encryption Standard (DES) by the National Bureau of Standards. This standard specifies a nonlinear cryptographic algorithm which can be used inter alia as a source of
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2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
The paper presents a reconfigurable Linear Feedback Shift Register (LFSR) that has the capacity to reseed and is composed of a seed generator circuit which is a 4-bit LFSR. The size of the pseudorandom pattern generator is 64 bit.
Murchana Saikia, Bhawna P. Shrivastava
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The paper presents a reconfigurable Linear Feedback Shift Register (LFSR) that has the capacity to reseed and is composed of a seed generator circuit which is a 4-bit LFSR. The size of the pseudorandom pattern generator is 64 bit.
Murchana Saikia, Bhawna P. Shrivastava
semanticscholar +1 more source

